Data Engineering -2

In the Data Engineering Life Cycle, what is the primary step after data is generated from the source system?

• Archival

• Transformation

• Ingestion

• Analysis

Which system is typically responsible for data generation in the Data Engineering Life Cycle?

• ETL pipeline

• Source system

• Data lake

• Data warehouse

What is the primary purpose of data ingestion in the Data Engineering Life Cycle?

• To transform raw data into meaningful insights

• To retrieve data from source systems and move it into storage systems

• To delete unused or outdated data

• To ensure data security and compliance

Which of the following storage systems is most commonly associated with the Data Engineering Life Cycle?

• Spreadsheets

• Relational databases

• Data lakes and data warehouses

• File cabinets

What is a common tool used for data ingestion in the Data Engineering Life Cycle?

• Tableau

• Apache Kafka

• Jupyter Notebook

• Microsoft Word

During which stage of the Data Life Cycle does data transformation typically occur?

• Data generation

• Data collection

• Data usage

• Data preparation

What is the primary goal of data transformation in the Data Engineering Life Cycle?

• To securely store raw data

• To convert raw data into a structured and usable format

• To visualize data for business insights

• To archive outdated data

Which of the following is a common method used for data transformation?

• Data compression

• Data encoding

• Extract, Transform, Load (ETL)

• Data visualization

In the Data Engineering Life Cycle, 'serving data' refers to:

• The process of storing data in archival systems

• Making processed data accessible for downstream applications and analytics

• Retrieving raw data from source systems

• Deleting outdated or redundant data

What are the major undercurrents across the Data Engineering Life Cycle?

• Scalability, reliability, and performance optimization

• Data cleaning, archiving, and deletion

• Machine learning, deep learning, and automation

• Hardware management, coding, and user training